Is AmplifAI or Talat better for AI meeting notes?

It depends on your workflow. AmplifAI is strong for automating quality assurance by transcribing and scoring customer service calls at scale, while Talat is strong for recording and transcribing meetings without sending audio to the cloud. Both transcribe and summarize meetings.

How do AmplifAI and Talat compare on price?

AmplifAI is custom pricing and Talat is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.

Can I use both AmplifAI and Talat?

Yes. Many teams run more than one meeting assistant when the workflows are complementary.

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AmplifAI vs Talat

AmplifAI: AmplifAI is an AI-powered contact center platform that transcribes and analyzes customer conversations across voice, chat, and messaging to automate quality assurance, coaching, and CX intelligence. Talat: A privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload. Below, they line up on price, capture method, and how each fits a real meeting stack.

How Hosiqo compares and tests tools

Final recommendation

Shortlist AmplifAI when automating quality assurance by transcribing and scoring customer service calls at scale matters most, and Talat when keeping a searchable local archive of meeting notes in markdown or obsidian matters most. Try them side by side on real calls before deciding — needs vary by team.

AmplifAI

CustomAI Meeting Assistants

AmplifAI is an AI-powered contact center platform that transcribes and analyzes customer conversations across voice, chat, and messaging to automate quality assurance, coaching, and CX intelligence.

Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metricsAutomated QA scoring conversations across channels and triggering tailored coachingConversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals

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Talat

Custom

About AmplifAI

AmplifAI is a contact center performance and customer-experience platform that unifies data across voice, chat, email, social, CRM, and workforce systems into a single source of truth. Its conversational intelligence layer captures call recordings and uses speech-to-text to transcribe conversations, then analyzes them for sentiment, intent, call reasons, themes, and behavioral signals. Rather than sampling a small percentage of interactions, its Automated QA evaluates conversations across channels and connects findings directly to coaching workflows. An "Ask Your Transcripts" feature provides a natural-language interface for querying call transcripts, QA scores, and CX metrics on demand, while real-time transcription, sentiment, and next-best-action guidance support agents during live interactions, including auto-summarized notes and dispositions. The platform is built for contact center teams—agents, team leaders, quality analysts, and CX leadership—across industries such as retail, financial services, healthcare, BPOs, and communications. It rounds out its offering with role-based performance dashboards, predictive NPS, root-cause analysis, gamification, and recognition tools to drive measurable performance improvements.

Best suited for

Automating quality assurance by transcribing and scoring customer service calls at scale
Surfacing customer sentiment, intent, and root-cause insights from conversation transcripts
Delivering data-driven, conversation-based coaching to agents and team leaders

About Talat

Talat is a lightweight desktop application that records and transcribes meetings entirely on the user's own computer, keeping audio and notes off cloud servers. It captures both the microphone and system audio, automatically detecting active conferencing apps such as Zoom, Microsoft Teams, Google Meet, and FaceTime, and transcribes both sides of the conversation in real time with low latency. Speakers are identified automatically and can be adjusted manually, and transcript segments can be edited, split, or deleted. When a meeting ends, an on-device large language model generates a summary highlighting key points, decisions, and action items. Because transcription and summarization run locally using hardware acceleration, the app functions offline and does not send meeting data to external providers, though users can optionally connect their own cloud LLM if they prefer. Talat supports exporting notes to Markdown for tools like Obsidian, along with webhooks and Model Context Protocol (MCP) support for integrating meeting data into other workflows, plus full local search across past recordings. Available for Apple Silicon Macs and Windows, it is sold as a one-time purchase rather than a subscription, making it suited to privacy-conscious individuals and small teams who want local control of their meeting records. Pricing varies by plan. Check the official website for current pricing.

Best suited for

Recording and transcribing meetings without sending audio to the cloud
Keeping a searchable local archive of meeting notes in Markdown or Obsidian
Generating summaries and action items offline for privacy-sensitive work

Feature	AmplifAI	Talat
Core capability	Speech-to-text transcription of voice calls plus analysis of chat and messaging conversations	Fully local, on-device recording and transcription with no cloud upload
Standout feature	Conversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals	Captures microphone and system audio from Zoom, Teams, Meet, and FaceTime
Team usage	Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metrics	Real-time speaker identification with editable transcript segments
Integrations	Automated QA scoring conversations across channels and triggering tailored coaching	On-device LLM summaries of key points, decisions, and action items
Languages & capture	Real-time transcription, sentiment, and next-best-action guidance with auto-summarized after-call notes	Markdown export to tools like Obsidian, plus webhooks and MCP support
Best-fit workflow	Unified data integration across voice, chat, CRM, surveys, and workforce systems with role-based performance dashboards	Local search across all previously recorded meetings

AmplifAI vs Talat

About AmplifAI

About Talat

Pricing comparison

Feature table

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Pros & cons

FAQ

Is AmplifAI or Talat better for AI meeting notes?

How do AmplifAI and Talat compare on price?

Can I use both AmplifAI and Talat?

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